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2020 – today
- 2020
[j7]Aaron M. Smith
, Jonathan R. Walsh, John Long, Craig B. Davis, Peter Henstock, Martin R. Hodge, Mateusz Maciejewski, Xinmeng Jasmine Mu, Stephen Ra, Shanrong Zhao, Daniel Ziemek, Charles K. Fisher:
Standard machine learning approaches outperform deep representation learning on phenotype prediction from transcriptomics data. BMC Bioinform. 21(1): 119 (2020)
2010 – 2019
- 2018
- [j6]Lichy Han, Mateusz Maciejewski, Christoph Brockel, William Gordon, Scott B. Snapper, Joshua R. Korzenik, Lovisa Afzelius, Russ B. Altman:
A probabilistic pathway score (PROPS) for classification with applications to inflammatory bowel disease. Bioinform. 34(6): 985-993 (2018) - 2016
- [j5]Anna Kobusinska, Jerzy Brzezinski, Michal Boron, Lukasz Inatlewski, Michal Jabczynski, Mateusz Maciejewski:
A branch hash function as a method of message synchronization in anonymous P2P conversations. Int. J. Appl. Math. Comput. Sci. 26(2): 479-493 (2016) - [j4]Kazi Yasin Helal, Mateusz Maciejewski, Elisabet Gregori-Puigjané, Meir Glick, Anne Mai Wassermann:
Public Domain HTS Fingerprints: Design and Evaluation of Compound Bioactivity Profiles from PubChem's Bioassay Repository. J. Chem. Inf. Model. 56(2): 390-398 (2016) - [j3]Gennaro Infante, Mateusz Maciejewski:
Multiple positive solutions of parabolic systems with nonlinear, nonlocal initial conditions. J. Lond. Math. Soc. 94(3): 859-882 (2016) - 2015
- [j2]Mateusz Maciejewski, Anne Mai Wassermann, Meir Glick, Eugen Lounkine:
Experimental Design Strategy: Weak Reinforcement Leads to Increased Hit Rates and Enhanced Chemical Diversity. J. Chem. Inf. Model. 55(5): 956-962 (2015) - 2014
- [j1]Mateusz Maciejewski, Paul N. Barlow, Nico Tjandra:
Decoding the components of dynamics in three-domain proteins. J. Comput. Chem. 35(7): 518-525 (2014)
Coauthor Index
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